AI connected to your systems with Model Context Protocol (MCP)
MCP servers that give AI assistants controlled access to your ERP, CRM and databases, to query and act with permissions and logging.
AI & Data
Official partner
Companies that trust Ecenture
When it makes sense / 01
When it makes sense
If one of these describes your company, it's worth a conversation.
Your team uses AI assistants, but they can't see company data.
Every AI integration is built from scratch, with no standard.
You need AI to query or act on systems with control.
Security and auditing are a condition for rolling out AI.
What we deliver / 02
What we deliver
An open standard to connect AI to your systems once and use it across assistants.
Custom MCP servers
Tools and data from your ERP, CRM, databases and APIs exposed to AI assistants.
Access control
Authentication, per-user permissions and limits on what AI can read or execute.
Auditing and logging
A log of every query and action taken by AI, for security and compliance.
Assistant integration
Use in Claude, ChatGPT, IDEs and your own agents, from the same server.
Process agents
Flows where AI queries, decides and executes steps, with human approval where it matters.
Use case assessment
Mapping where connected AI pays off and where the risk isn't worth it.
How we can work together / 03
How we can work together
Lens, Build and Scale applied to this service.
- Focused consulting
Lens
A decision about connecting AI to your systems: we assess what it should access, with which risks, and lay out the next steps.
- Fixed scope
Build
One MCP server for one system or use case, with fixed scope, timeline and price.
- Monthly capacity
Scale
Monthly capacity to connect new systems and agents as AI use grows, with a backlog you prioritize and an SLA.
Technologies / 04
Technologies
Broad experience: since 2012 we've worked across the market's main stacks, on projects in 11 countries. Technology is chosen for the problem and your team, not our preference.
Protocol and SDKs
- Model Context Protocol
- TypeScript SDK
- Python SDK
- C# SDK
- OAuth 2.1
Assistants
- Claude
- ChatGPT
- Microsoft Copilot
- Cursor
- VS Code
Runtime
- Node.js
- Python
- Docker
- Cloudflare Workers
- AWS Lambda
- Azure Functions
Process / 05
How we work
- 01
Diagnostic
Which systems, which questions and actions, and who can do what.
- 02
Strategy
Design of exposed tools, permissions and audit log.
- 03
Implementation
MCP server built and tested with the assistants your team already uses.
- 04
Evolution
Usage monitoring, new systems connected and permission reviews.
FAQ / 06
What is Model Context Protocol?
It's an open standard, created by Anthropic, to connect AI assistants to systems and data. An integration built once works across compatible assistants.
How much does it cost?
It depends on scope. After the 30-minute diagnostic call, we send an investment range before any formal proposal.
Can AI change data in my system?
Only what you allow. We set permissions per tool and per user, and sensitive actions can require approval.
Does it work with ChatGPT and Copilot?
MCP is supported by several assistants. We validate compatibility with the ones your team uses in the strategy stage.
Also in ai & data / 07